Instructions to use CLMBR/binding-case-lstm-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLMBR/binding-case-lstm-2 with Transformers:
# Load model directly from transformers import RNNForLanguageModeling model = RNNForLanguageModeling.from_pretrained("CLMBR/binding-case-lstm-2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab7e2f791bad073aac0e93509872a1eebd0da077040870cc85b3590365cc9810
- Size of remote file:
- 272 MB
- SHA256:
- 9f883537ae774f0e0a89be1a65c9c71ade1719437f326e990d97dfae81e310f0
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